The new method tackles the challenge of missing features under the multi-task learning framework. The proposed method is effective for prediction and model estimation when missing data is present.
Have you been in your attic lately? Or maybe cleaned out that closet that all of your “stuff” seems to gravitate to? Sure, mostly you’ll just find old junk that is no longer useful or purely nostalgic, but every once in a while you come across those long lost treasures
I’ve often heard people say about weather forecasters “they have the best job…they just report what the models are telling them, and when they’re wrong they can always blame it on Mother Nature throwing us a curve.” While that’s true, this glass-half-empty crowd is failing to appreciate how amazing the